W3C home > Mailing lists > Public > semantic-web@w3.org > October 2021

Open Positions for PostDocs and PhD Students at the University of Zurich's Dynamic and Distributed Information Systems Group

From: Abraham Bernstein <bernstein@ifi.uzh.ch>
Date: Tue, 26 Oct 2021 16:02:12 +0200
Message-Id: <557DD0F9-EFEB-4A85-8C2D-2D9DCC70579E@ifi.uzh.ch>
To: public-lod@w3.org, semantic-web <semantic-web@w3.org>
The Dynamic and Distributed Information Systems Group at the University of Zurich is happy to announce the following 3 new positions:
Ph.D. position – MediaGraph <https://www.ifi.uzh.ch/en/ddis/jobs.html#MediaGraph>
Ph.D. position – AI <https://www.ifi.uzh.ch/en/ddis/jobs.html#AI>
Postdoc position <https://www.ifi.uzh.ch/en/ddis/jobs.html#PostDoc>
More information can be found below and at http://ddis.ch/jobs <http://ddis.ch/jobs> 



 

 <> <>Ph.D. position at the Dynamic and Distributed Information Systems Group of the University of Zurich – MediaGraph

Human knowledge is inherently multi-modal, and it is more than just a collection of isolated pieces of information, irrespective of the form of expression. Instead, it emerges from the interconnectedness of all of these information fragments. Knowledge graphs are a powerful way of capturing such interconnected knowledge. Such graphs are effective for storing and relating information that can easily be expressed in textual form, by assigning a simple text label to every node in a graph or relating them to literals represented using strings or blobs. However, they so far fail to capture the richness of information which is not easily expressed as a short piece of text.

The `MediaGraph' project aims to extend the concept of a knowledge graph with all types of information which are currently representable as multimedia to be able to capture the richness of human knowledge. In contrast to a knowledge graph whose nodes are associated with a textual label (with a specification arising from relations to other entities and labels), the nodes in a media graph will be able to represent and interrelate any part of any multimedia document. The resulting graph will not only describe the semantic but also the stylistic and technical relations between the documents and their components and form the basis for novel media interaction paradigms.

For this project, we are seeking a motivated PhD student to help make MediaGraph a reality. Requirements include an MSc in Computer Science or a related discipline, a background in both theoretical and applied aspects of computer science as well as a passion for discovering new things. Experience in the areas of databases, data management, semantic web technologies, multimedia processing, multimedia analysis, machine learning, and/or signal processing are considered a plus. The PhD Student will be in charge of the development of manual as well as automated construction methods for MediaGraphs and will define and own some of the practical use-cases to which MediaGraph will be applied in practice. They will also contribute to the design and implementation of representation, querying, and evaluation mechanisms for the graphs.

To apply, please gather your curriculum vitae, all grade transcripts, selected publications (if available), a list of at least three references, and your BSc/MSc theses as PDF files and go to 

https://www.apply.dsi.uzh.ch/position/5996546 <https://www.apply.dsi.uzh.ch/position/5996546>
The University of Zurich is committed to enhancing the number of women in scientific positions and, therefore, particularly invites women to apply. Women who are as qualified for the position in question as male applicants will be given priority.

top <https://www.ifi.uzh.ch/en/ddis/jobs.html#top> <>
 <>Ph.D. position at the Dynamic and Distributed Information Systems Group of the University of Zurich – AI

The Web, invented only 30 years ago, has made the dream of building machines that bring the worlds knowledge ubiquitously into our reach a reality. With the availability of these data and the unprecedented availability of computation another dream of humanity – the one a self-sufficient intelligent assistance in everyday professional and leisure tasks – has come within our reach. Indeed, we are seeing AI-based solutions appear everywhere. The ubiquity of AI solutions also stirs fears. People are likening today’s technology to 1984 settings, we have seen a flood of AI ethics standards, and the European Union has just released a first draft of their legislation for regulating AI.

The Dynamic and Distributed Information Systems Group at the University is looking for motivated applicants, who are interested in investigating how AI can be made fair, accountable, explainable, and/or trustworthy. In the tradition of our research group to explore both the technical and behavioral dimension of computer science, we are seeking interested Ph.D. students to investigate either the traditional computer science approach of how responsible AI can be built or candidates, who are more interested in exploring the behavioral aspects of fairness, accountability, explainability, or trustworthiness. 

We offer:

A highly exciting, timely, and societally important as well as meaningful research topic
A diverse and multi-disciplinary research group of highly motivated colleagues who are passionate about topics at the intersection of computer science, AI, and social science
Strong support for your professional/career development
Attractive work environment both within the research group and beyond: the University of Zurich is one of Switzerland's leading universities in the middle of a vibrant, cosmopolitan city that regularly ranks as one of the cities with the highest quality of life in the world.
Generous support for professional travel and research needs
If you are interested in these topics and have an MSc in Computer Science or a related discipline (or will be receiving it shortly) as well as a passion for discovering new things. Experience in the areas of AI, semantic web technologies, machine learning, and/or behavioral analyses such as running experiments with human subjects or surveys are considered a plus but are not strictly necessary. 

To apply, please gather your curriculum vitae, all grade transcripts, selected publications (if available), a list of at least three references, and your BSc/MSc theses as PDF files and go to 

https://www.apply.dsi.uzh.ch/position/5996544 <https://www.apply.dsi.uzh.ch/position/5996544>
The University of Zurich is committed to enhancing the number of women in scientific positions and, therefore, particularly invites women to apply. Women who are as qualified for the position in question as male applicants will be given priority.
top <https://www.ifi.uzh.ch/en/ddis/jobs.html#top> <> <>Postdoc position at the Dynamic and Distributed Information Systems Group of the University of Zurich

The Web, invented only 30 years ago, has made the dream of building machines that bring the worlds knowledge ubiquitously into our reach a reality. With the availability of these data and the unprecedented availability of computation another dream of humanity – the one a self-sufficient intelligent assistance in everyday professional and leisure tasks – has come within our reach. Indeed, we are seeing AI-based solutions appear everywhere. The ubiquity of AI solutions also stirs fears. People are likening today’s technology to 1984 settings, we have seen a flood of AI ethics standards, and the European Union has just released a first draft of their legislation for regulating AI.

The Dynamic and Distributed Information Systems Group at the University is looking for motivated applicants, who are interested in investigating how AI can be made fair, accountable, explainable, and/or trustworthy. In particular, we are seeking applicants, who have experience with information systems, large data processing, and applications of AI.

In the tradition of our research group to explore both the technical and behavioral dimension of computer science, we are seeking interested Postdocs to investigate technical approaches of how responsible AI can be built. 

We offer:

A highly exciting, timely, and societally important as well as meaningful research topic
A diverse and multi-disciplinary research group of highly motivated colleagues who are passionate about topics at the intersection of computer science, AI, and social science
Strong support for your professional/career development
Attractive work environment both within the research group and beyond: the University of Zurich is one of Switzerland's leading universities in the middle of a vibrant, cosmopolitan city that regularly ranks as one of the cities with the highest quality of life in the world.
Generous support for professional travel and research needs
If you are interested in these topics and have a Ph.D. in Computer Science, AI, or a related discipline (or will be receiving it shortly) as well as a passion for discovering new things. Experience in the areas of AI, semantic web technologies, machine learning, and/or behavioral analyses such as running experiments with human subjects or surveys are considered a plus but are not strictly necessary. The position also includes some teaching support duties.

To apply, please gather your curriculum vitae, all grade transcripts, selected publications, a list of at least three references, and your MSc/Ph.D. theses as PDF files and go to 

https://www.apply.dsi.uzh.ch/position/5996545 <https://www.apply.dsi.uzh.ch/position/5996545>
The University of Zurich is committed to enhancing the number of women in scientific positions and, therefore, particularly invites women to apply. Women who are as qualified for the position in question as male applicants will be given priority.

-----------------------------------------------------------------
|  Professor Abraham Bernstein, PhD
|  University of Zürich, Department of Informatics
|  web: http://www.ifi.uzh.ch/ddis/bernstein.html


Received on Tuesday, 26 October 2021 14:02:29 UTC

This archive was generated by hypermail 2.4.0 : Tuesday, 5 July 2022 08:46:10 UTC